<p>Designation: Data Scientist<br/><br/>Job Description:<br/><br/>Work you will do?<br/><br/>- As a Senior Data Scientist, you will assume responsibility for guiding the planning, assessment, and execution of our content initiatives and the subsequent engagement and learner and student success<br/><br/>- You will play a key role in identifying gaps in content and proposing ways to acquire new, targeted content or enhance existing content, in addition to creating and leveraging forecasts of content pre and post launch, defining KPIs and creating reports for measuring the impact of diverse tests, product improvements, and content releases<br/><br/>- In this position, you will guide other Data Scientists and provide technical feedback throughout various stages of project development, including optimizing analytical models, reviewing code, creating dashboards, and conducting experimentation<br/><br/>- Liaison with on site and client teams to understand various business problem statements analytical requirements<br/><br/>- Provide suggestions on various machine learning algorithms to solve business analytics problems<br/><br/>- Drive for value proposition with best in class industry practices & latest algorithms<br/><br/>- Actively participate in client pursuits, proposals & bids<br/><br/>- Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices.<br/><br/>- We are seeking a highly skilled and collaborative Senior Data Scientist to join our team<br/><br/>- Reporting to the Director of Data Science, you will work alongside and provide technical guidance to a subset of our Analytics and Insights group and provide support to a few business lines including Industry and University Partnerships, and Content/Credentials supporting Product, Marketing, Content, Finance, Services, and more<br/><br/>- As a Senior Data Scientist, you will influence strategies and roadmaps for business units within your purview through actionable insights<br/><br/>- Your responsibilities will include forecasting content performance, informing content acquisition and prescribing improvements, addressing A/B testing setups and reporting, answering ad-hoc business questions, defining metrics and goals, building and managing dashboards, causal inference and ML modeling, supporting business event tracking and unification, and more<br/><br/>- The ideal candidate will be a creative and collaborative Data Scientist who can proactively drive results in their areas of focus, and provide guidance and best practices around statistical modeling and experimentation, data analysis, and data quality<br/><br/>Required:<br/><br/>- Experience in descriptive & predictive analytics<br/><br/>- Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred<br/><br/>- Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle<br/><br/>- Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG)<br/><br/>- Strong understanding of text pre-processing & normalization techniques such as tokenization<br/><br/>- Strong knowledge of Python is a must<br/><br/>- Strong SQL querying skills & data processing using Spark<br/><br/>- Hands on experience in data mining with Spark<br/><br/>- String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc.<br/><br/>- Good understanding of Hadoop ecosystem</p> (ref:hirist.tech)
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